Discover ParCoreLab/SpTRSV_Framework Open Source project

Stars
6
Rank 2,539,965 (Top 51 %)
Language
C++
License
Other
Created over 4 years ago
Updated over 4 years ago

ParCoreLab

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

The SpTRSV prediction framework is an automated prediction framework for the fastest sparse triangular solve (SpTRSV) algorithm for a given input sparse matrix on a CPU-GPU platform.

ComScribe

ComScribe is a tool to identify communication among all GPU-GPU and CPU-GPU pairs in a single-node multi-GPU system.

C++

Snoopie

Multi-GPU communication profiler and visualizer

CPU-Free-model

Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.

Cuda

ReuseTracker

A fast and accurate reuse distance analyzer for multi-threaded applications. It leverages existing hardware features in commodity CPUs.

Shell

mixed-and-multi-spmv

Mixed and Multi-Precision SpMV for GPUs with Row-wise Precision Selection.

Cuda

multi-GPU-comm-bench

Cuda

Split_SpTRSV

The split execution framework can automatically determine the suitability of an SpTRSV for split-execution, find the appropriate split point, and execute SpTRSV in a split fashion using two SpTRSV algorithms while automatically managing any required inter-platform communication. The model is implemented as a C++/CUDA library supporting multiple CPU-GPU algorithms.

C++

ParCoreTools

C++

pardnn

C++

gpu-fusion

GPU fusion code and algorithm

Cuda

PES-artifact

ParCoreLab/SpTRSV_Framework

ParCoreLab

Reviews

Repository Details

More Repositories